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electric mobility and smart energy management. We design and implement charging infrastructures and advanced energy optimization systems, combining engineering, proprietary software, and strategic vision
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Laboratoire Interdisciplinaire des Energies de Demain - Université Paris Cité | Paris 15, le de France | France | 6 days ago
3 Apr 2026 Job Information Organisation/Company Laboratoire Interdisciplinaire des Energies de Demain - Université Paris Cité Research Field Chemistry Physics Researcher Profile Recognised
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science, industrial engineering, or a comparable field (Master’s degree) Knowledge of modeling, optimization, and data analysis of energy systems Interest in electricity markets, energy system analysis, and model-based
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Numerical Study of Soil Remediation by Thermal Desorption with a Focus on Industrial Decarbonization
pollutants. Once validated against industrial measurements, the model will be used to propose optimal treatment configurations, including decarbonization scenarios through energy source optimization and the
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PhD fellowship (R1) to work on the MSCA project SAILING. The tasks to be carried out will be focused on developing a distributed energy optimization local controllers leading to the grid edge conceptual
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PhD fellowship (R1) to work on the MSCA project SAILING. The tasks to be carried out will be focused on developing a distributed energy optimization local controllers leading to the grid edge conceptual
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the design of optimized electrodes for more efficient and sustainable hydrogen production. The project is interdisciplinary, combining chemistry, physics, and materials science. Where to apply Website https
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Your Job: The objective of this thesis is to model the European buildings sector in our European energy system model, based on the framework ETHOS.FINE, and to optimize the transformation pathway
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investigate cooperative, multi-agent and multi-objective AI methods capable of jointly optimizing throughput, latency, energy efficiency, and cost in heterogeneous cellular environments. The doctoral candidate
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engineering, or a comparable field (Master’s degree) Knowledge of modeling, optimization, and data analysis of energy systems Interest in electricity markets, energy system analysis, and model-based studies